A M P E R A
Client Context

Competitor Pricing Intelligence & Opportunity Analytics – Global Packaging Leader

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Industry:

Packaging – Glass, Plastic & Sustainable Packaging Solutions

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Geography:

North America & Europe

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Engagement Type:

Competitive Intelligence & Pricing Analytics

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Scope:

Packaging catalog ( glass jars, bottles, closures & specialty SKUs )

Challenges

Challenges

    • Pricing teams lacked centralized visibility of competitor stock status, pricing bands, and attribute match levels across top rivals (Berlin Packaging, Container & Packaging, Cary Company, etc.).
    • Inventory and pricing fluctuations were dynamic across size, capacity, color, finish, neck type, and MOQ, making manual benchmarking slow and error-prone.
    • Lack of structured product-to-product matching made it difficult to quantify:
    • Where TricorBraun had a competitive pricing edge
    • Where price corrections (up/down) would drive conversions
    • Which SKUs competitors were selling aggressively that TricorBraun was not covering
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Our Apporach

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Developed a Product Matching Engine using NLP and attribute scoring to correlate SKUs across capacity, dimensions, material, finish, and pack size across competitors.
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Built a canonical product taxonomy to normalize names, attributes, and variations (e.g., amber glass dropper bottle 30ml 18-410).
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Automated pricing intelligence scraping workflows across product catalogs, price lists, promotions, and stock-status pages.
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  • Delivered competitive analytics dashboards for Pricing & Sales Teams showing:
  • Price variance by segment, SKU, and marketplace
  • Attribute match score (≥ 80%, ≥ 60%, < 60%)
  • SKU-level opportunity scoring based on price gap + stock availability
  • Suggested selling price (SSP) and risk-based price corridor
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Enabled weekly refresh cycles to give pricing teams near-real-time insights.
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Impact Delivered


    • Identified high-value pricing opportunities for ~22% of the catalog, enabling margin-preserving competitive adjustment.
    • Uncovered 17% of competitor SKUs that matched TricorBraun’s SKUs but were priced 8–14% higher, driving targeted win-back promotions.
    • Revealed stock-out cycles of competitors, allowing priority-based campaign triggers for Sales during competitor shortages.
    • Improved quote conversion rate by 19% in target segments through optimized pricing guidance and proactive inventory planning.
    • Provided a repeatable competitor-intelligence engine to support product launches, portfolio expansion, and distributor negotiations.
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